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Alcohol craving and the dimensionality of alcohol disorders

Published online by Cambridge University Press:  12 May 2010

K. M. Keyes ,
R. F. Krueger ,
B. F. Grant  and
D. S. Hasin
K. M. Keyes
Affiliation:
New York State Psychiatric Institute, New York, NY, USA Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
R. F. Krueger
Affiliation:
Department of Psychology and Psychiatry, Washington University in St Louis, St Louis, MO, USA
B. F. Grant
Affiliation:
Laboratory of Epidemiology and Biometry, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
D. S. Hasin*
Affiliation:
New York State Psychiatric Institute, New York, NY, USA Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, NY, USA
*
*Address for correspondence: D. S. Hasin, Ph.D., New York State Psychiatric Institute, 1051 Riverside Drive #123, New York, New York 10032, USA. (Email: [email protected])
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Abstract

Background

ICD-10 includes a craving criterion for alcohol dependence while DSM-IV does not. Little is known about whether craving fits with or improves the DSM-IV criteria set for alcohol-use disorders.

Method

Data were derived from current drinkers (n=18 352) in the 1991–1992 National Longitudinal Alcohol Epidemiologic Survey (NLAES), a nationally representative survey of US adults >17 years of age. The Alcohol Use Disorder and Associated Disabilities Interview Schedule was used to assess the eleven DSM-IV dependence and abuse criteria, and alcohol craving. Exploratory factor, item response theory, and regression analyses were used to evaluate the psychometric properties and concurrent validity of DSM-based alcohol disorder criteria with the addition of alcohol craving.

Results

The past 12-month prevalence of craving was 1.3%. Craving formed part of a unidimensional latent variable that included existing DSM-IV criteria. Craving demonstrated high severity on the alcohol-use disorder continuum, resulting in an improved dimensional model with greater discriminatory ability compared with current DSM-IV criteria. Correlates of the diagnosis did not change with the addition of craving, and past 12-month craving was associated with prior alcohol dependence, depression, and earlier age of alcohol disorder onset among those with current DSM-IV alcohol dependence.

Conclusions

The addition of craving to the existing DSM-IV criteria yields a continuous measure that better differentiates individuals with and without alcohol problems along the alcohol-use disorder continuum. Few individuals are newly diagnosed with alcohol dependence given the addition of craving, indicating construct validity but redundancy with existing criteria.

Keywords

Alcohol cravingalcohol use disordersdiagnostic criteriaitem response theoryDSM-V
Type
Original Articles
Information
Psychological Medicine , Volume 41 , Issue 3 , March 2011 , pp. 629 - 640
Copyright
Copyright © Cambridge University Press 2010

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References

Akaike, H (1978). A Bayesian analysis of the minimum AIC procedure. Annals of the Institute of Statistical Mathematics 30A, 9–14.CrossRefGoogle Scholar
Bencherif, B, Wand, GS, McCaul, ME, Kim, YK, Ilgin, N, Dannals, RF, Frost, JJ (2004). Mu-opioid receptor binding measured by [11C]carfentanil positron emission tomography is related to craving and mood in alcohol dependence. Biological Psychiatry 55, 255–262.CrossRefGoogle ScholarPubMed
Birnbaum, A (1968). Some latent trait models. In Statistical Theory of Mental Test Scores (ed. Lord, F. M. and Norvick, M. R.), pp. 397–472. Addison-Wesley: Reading, MA.Google Scholar
Bock, RD, Gibbons, R, Muraki, E (1988). Full-information item factor analysis. Applied Psychological Measurement 12, 261–280.CrossRefGoogle Scholar
Canino, G, Bravo, M, Ramirez, R, Febo, VE, Rubio-Stipec, M, Fernandez, RL, Hasin, D (1999). The Spanish Alcohol Use Disorder and Associated Disabilities Interview Schedule (AUDADIS): reliability and concordance with clinical diagnoses in a Hispanic population. Journal of Studies on Alcohol 60, 790–799.CrossRefGoogle Scholar
Chatterji, S, Saunders, JB, Vrasti, R, Grant, BF, Hasin, D, Mager, D (1997). Reliability of the alcohol and drug modules of the Alcohol Use Disorder and Associated Disabilities Interview Schedule – Alcohol/Drug-Revised (AUDADIS-ADR): an international comparison. Drug and Alcohol Dependence 47, 171–185.CrossRefGoogle Scholar
Chou, SP, Grant, BF, Dawson, DA, Stinson, FS, Saha, T, Pickering, RP (2005). Twelve-month prevalence and changes in driving after drinking: United States, 1991–1992 and 2001–2002. Drug and Alcohol Dependence 80, 223–230.CrossRefGoogle ScholarPubMed
Cottler, LB, Grant, BF, Blaine, J, Mavreas, V, Pull, C, Hasin, D, Compton, WM, Rubio-Stipec, M, Mager, D (1997). Concordance of DSM-IV alcohol and drug use disorder criteria and diagnoses as measured by AUDADIS-ADR, CIDI and SCAN. Drug and Alcohol Dependence 47, 195–205.CrossRefGoogle ScholarPubMed
Embretson, SE, Reise, SP (2000). Item Response Theory for Psychologists. Lawrence Erlbaum Associates: Mahwah, NJ.Google Scholar
Etzioni, RD, Kadane, JB (1995). Bayesian statistical methods in public health and medicine. Annual Review of Public Health 16, 23–41.CrossRefGoogle ScholarPubMed
Foroud, T, Wetherill, LF, Liang, T, Dick, DM, Hesselbrock, V, Kramer, J, Nurnberger, J, Schuckit, M, Carr, L, Porjesz, B, Xuei, X, Edenberg, HJ (2007). Association of alcohol craving with α-synuclein (SNCA). Alcoholism: Clinical and Experimental Research 31, 537–545.CrossRefGoogle ScholarPubMed
Gelhorn, H, Hartman, C, Sakai, J, Stallings, M, Young, S, Rhee, SH, Corley, R, Hewitt, J, Hopfer, C, Crowley, T (2008). Toward DSM-V: an item response theory analysis of the diagnostic process for DSM-IV alcohol abuse and dependence in adolescents. Journal of the American Academy of Child and Adolescent Psychiatry 47, 1329–1339.CrossRefGoogle ScholarPubMed
Grant, BF (1997). Prevalence and correlates of alcohol use and DSM-IV alcohol dependence in the United States: results of the National Longitudinal Alcohol Epidemiologic Survey. Journal of Studies on Alcohol 58, 464–473.CrossRefGoogle ScholarPubMed
Grant, BF, Dawson, DA, Stinson, FS, Chou, SP, Dufour, MC, Pickering, RP (2004). The 12-month prevalence and trends in DSM-IV alcohol abuse and dependence: United States, 1991–1992 and 2001–2002. Drug and Alcohol Dependence 74, 223–234.CrossRefGoogle ScholarPubMed
Grant, BF, Dawson, DA, Stinson, FS, Chou, PS, Kay, W, Pickering, R (2003 a). The Alcohol Use Disorder and Associated Disabilities Interview Schedule-IV (AUDADIS-IV): reliability of alcohol consumption, tobacco use, family history of depression and psychiatric diagnostic modules in a general population sample. Drug and Alcohol Dependence 71, 7–16.CrossRefGoogle Scholar
Grant, BF, Harford, TC, Dawson, DA, Chou, PS, Pickering, RP (1995). The Alcohol Use Disorder and Associated Disabilities Interview schedule (AUDADIS): reliability of alcohol and drug modules in a general population sample. Drug and Alcohol Dependence 39, 37–44.CrossRefGoogle Scholar
Grant, BF, Moore, TC, Shepard, J, Kaplan, K (2003 b). Source and Accuracy Statement: Wave 1 National Epidemiologic Survey on Alcohol and Related Conditions (NESARC). National Institute on Alcohol Abuse and Alcoholism: Bethesda, MD.Google Scholar
Harford, TC, Yi, HY, Faden, VB, Chen, CM (2009). The dimensionality of DSM-IV alcohol use disorders among adolescent and adult drinkers and symptom patterns by age, gender, and race/ethnicity. Alcoholism: Clinical and Experimental Research 33, 868–878.CrossRefGoogle ScholarPubMed
Hasin, D (2003). Classification of alcohol use disorders. Alcohol Research and Health 27, 5–17.Google ScholarPubMed
Hasin, D, Carpenter, KM, McCloud, S, Smith, M, Grant, BF (1997 a). The alcohol use disorder and associated disabilities interview schedule (AUDADIS): reliability of alcohol and drug modules in a clinical sample. Drug and Alcohol Dependence 44, 133–141.CrossRefGoogle Scholar
Hasin, D, Grant, BF, Cottler, L, Blaine, J, Towle, L, Ustun, B, Sartorius, N (1997 b). Nosological comparisons of alcohol and drug diagnoses: a multisite, multi-instrument international study. Drug and Alcohol Dependence 47, 217–226.CrossRefGoogle ScholarPubMed
Hasin, D, Hatzenbuehler, ML, Keyes, K, Ogburn, E (2006). Substance use disorders: Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV) and International Classification of Diseases, tenth edition (ICD-10). Addiction 101 (Suppl. 1), 59–75.CrossRefGoogle ScholarPubMed
Hasin, D, Paykin, A (1999). DSM-IV alcohol abuse: investigation in a sample of at-risk drinkers in the community. Journal of Studies on Alcohol 60, 181–187.CrossRefGoogle Scholar
Hasin, D, Paykin, A, Endicott, J, Grant, B (1999). The validity of DSM-IV alcohol abuse: drunk drivers versus all others. Journal of Studies on Alcohol 60, 746–755.CrossRefGoogle ScholarPubMed
Hasin, D, Van Rossem, R, McCloud, S, Endicott, J (1997 c). Alcohol dependence and abuse diagnoses: validity in community sample heavy drinkers. Alcoholism: Clinical and Experimental Research 21, 213–219.Google ScholarPubMed
Heinz, A, Beck, A, Grusser, SM, Grace, AA, Wrase, J (2009). Identifying the neural circuitry of alcohol craving and relapse vulnerability. Addiction Biology 14, 108–118.CrossRefGoogle ScholarPubMed
Helzer, JE, Bucholz, KK, Gossop, M (2007). A dimensional option for the diagnosis of substance dependence in DSM-V. International Journal of Methods in Psychiatric Research 16 (Suppl. 1), S24–S33.CrossRefGoogle ScholarPubMed
Jennrich, RI, Sampson, PF (1966). Rotation for simple loadings. Psychometrika 31, 313–323.CrossRefGoogle ScholarPubMed
Kahler, CW, Strong, DR (2006). A Rasch model analysis of DSM-IV alcohol abuse and dependence items in the National Epidemiological Survey on Alcohol and Related Conditions. Alcoholism: Clinical and Experimental Research 30, 1165–1175.CrossRefGoogle ScholarPubMed
Kalivas, PW, O'Brien, C (2008). Drug addiction as a pathology of staged neuroplasticity. Neuropsychopharmacology 33, 166–180.CrossRefGoogle ScholarPubMed
Keyes, KM, Geier, T, Grant, B, Hasin, D (2009). Influence of a drinking quantity and frequency measure on the prevalence and demographic correlates of DSM-IV alcohol dependence. Alcoholism: Clinical and Experimental Research 33, 761–771.CrossRefGoogle ScholarPubMed
Kline, RB (1998). Principles and Practice of Structural Equation Modeling. Guilford Press: New York.Google Scholar
Krueger, RF, Nichol, PE, Hicks, BM, Markon, KE, Patrick, CJ, Iacono, WG, McGue, M (2004). Using latent trait modeling to conceptualize an alcohol problems continuum. Psychological Assessment 16, 107–119.CrossRefGoogle ScholarPubMed
Langenbucher, JW, Labouvie, E, Martin, CS, Sanjuan, PM, Bavly, L, Kirisci, L, Chung, T (2004). An application of item response theory analysis to alcohol, cannabis, and cocaine criteria in DSM-IV. Journal of Abnormal Psychology 113, 72–80.CrossRefGoogle ScholarPubMed
Li, TK, Hewitt, BG, Grant, BF (2007 a). The alcohol dependence syndrome, 30 years later: a commentary. The 2006 H. David Archibald lecture. Addiction 102, 1522–1530.CrossRefGoogle Scholar
Li, TK, Hewitt, BG, Grant, BF (2007 b). Is there a future for quantifying drinking in the diagnosis, treatment, and prevention of alcohol use disorders? Alcohol and Alcoholism 42, 57–63.CrossRefGoogle Scholar
Lubke, G, Muthén, B (2007). Performance of factor mixture models as a function of model size, covariate effects, and class-specific parameters. Structural Equation Modeling 14, 26–47.CrossRefGoogle Scholar
Martin, CS, Chung, T, Kirisci, L, Langenbucher, JW (2006). Item response theory analysis of diagnostic criteria for alcohol and cannabis use disorders in adolescents: implications for DSM-V. Journal of Abnormal Psychology 115, 807–814.CrossRefGoogle ScholarPubMed
Martin, CS, Chung, T, Langenbucher, JW (2008). How should we revise diagnostic criteria for substance use disorders in the DSM-V? Journal of Abnormal Psychology 117, 561–575.CrossRefGoogle ScholarPubMed
Miller, NS, Goldsmith, RJ (2001). Craving for alcohol and drugs in animals and humans: biology and behavior. Journal of Addictive Disorders 20, 87–104.CrossRefGoogle ScholarPubMed
Muthén, B, Asparouhov, T (2002). Latent variable analysis with categorical outcomes: Mplus Web Note no. 4 (www.statmodel.com).Google Scholar
Muthén, LK, Muthén, BO (2009). Mplus User's Guide, 5th edn. Muthén and Muthén: Los Angeles, CA.Google Scholar
O'Brien, CP (2005). Anticraving medications for relapse prevention: a possible new class of psychoactive medications. American Journal of Psychiatry 162, 1423–1431.CrossRefGoogle ScholarPubMed
O'Brien, CP, Childress, AR, Ehrman, R, Robbins, SJ (1998). Conditioning factors in drug abuse: can they explain compulsion? Journal of Psychopharmacology 12, 15–22.CrossRefGoogle ScholarPubMed
Oslin, DW, Cary, M, Slaymaker, V, Colleran, C, Blow, FC (2009). Daily ratings measures of alcohol craving during an inpatient stay define subtypes of alcohol addiction that predict subsequent risk for resumption of drinking. Drug and Alcohol Dependence 103, 131–136.CrossRefGoogle ScholarPubMed
Proudfoot, H, Baillie, AJ, Teesson, M (2006). The structure of alcohol dependence in the community. Drug and Alcohol Dependence 81, 21–26.CrossRefGoogle ScholarPubMed
Pull, CB, Saunders, JB, Mavreas, V, Cottler, LB, Grant, BF, Hasin, DS, Blaine, J, Mager, D, Ustun, BT (1997). Concordance between ICD-10 alcohol and drug use disorder criteria and diagnoses as measured by the AUDADIS-ADR, CIDI and SCAN: results of a cross-national study. Drug and Alcohol Dependence 47, 207–216.CrossRefGoogle ScholarPubMed
Research Triangle Institute (2004). Software for Survey Data Analysis (SUDAAN), Version 9.1. Research Triangle Institute: Research Triangle Park, NC.Google Scholar
Saha, TD, Chou, SP, Grant, BF (2006). Toward an alcohol use disorder continuum using item response theory: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Psychological Medicine 36, 931–941.CrossRefGoogle ScholarPubMed
Saha, TD, Stinson, FS, Grant, BF (2007). The role of alcohol consumption in future classifications of alcohol use disorders. Drug and Alcohol Dependence 89, 82–92.CrossRefGoogle ScholarPubMed
Ustun, B, Compton, W, Mager, D, Babor, T, Baiyewu, O, Chatterji, S, Cottler, L, Gogus, A, Mavreas, V, Peters, L, Pull, C, Saunders, J, Smeets, R, Stipec, MR, Vrasti, R, Hasin, D, Room, R, Van den Brink, W, Regier, D, Blaine, J, Grant, BF, Sartorius, N (1997). WHO Study on the reliability and validity of the alcohol and drug use disorder instruments: overview of methods and results. Drug and Alcohol Dependence 47, 161–169.CrossRefGoogle Scholar
Vrasti, R, Grant, BF, Chatterji, S, Ustun, BT, Mager, D, Olteanu, I, Badoi, M (1998). Reliability of the Romanian version of the alcohol module of the WHO Alcohol Use Disorder and Associated Disabilities: Interview Schedule – Alcohol/Drug-Revised. European Addiction Research 4, 144–149.CrossRefGoogle ScholarPubMed
Weiss, F (2005). Neurobiology of craving, conditioned reward and relapse. Current Opinion in Pharmacology 5, 9–19.CrossRefGoogle ScholarPubMed
WHO (1993). The ICD-10 Classification of Mental and Behavioural Disorders: Diagnostic Criteria for Research. World Health Organization: Geneva.Google Scholar
Wu, LT, Pan, JJ, Blazer, DG, Tai, B, Stitzer, ML, Brooner, RK, Woody, GE, Patkar, AA, Blaine, JD (2009). An item response theory modeling of alcohol and marijuana dependences: a National Drug Abuse Treatment Clinical Trials Network study. Journal of Studies on Alcohol and Drugs 70, 414–425.CrossRefGoogle ScholarPubMed
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